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534 results for “inclusion”
Figure 3 in A new species of Chrysina Kirby, 1828 (Coleoptera: Scarabaeidae: Rutelinae: Rutelini) from Ecuador and inclusion into proposed veraguana species-group
Figure 3. Distribution map of the veraguana species-group. / Mapa de distribución del grupo de
Fig. 10 in Description Of Crinotonia Anastasiae, New Genus, New Species, A New Crinoid Associated Pontoniine Shrimp (Crustacea: Caridea) From Nha Trang Bay, Vietnam, With Inclusion Of Periclimenes Attenuatus Bruce, 1971, In The New Genus
Fig. 10. Crinotonia attenuatus (Bruce), new combination, male (PCL 3.2 mm). Scale bar = 5 mm.
Towards inclusive stakeholder engagement in infrastructure projects: The case of flood alleviation schemes in England
<p><span><span>The data includes transcribed data from semi-structured interviews with industry practitioners from Design, Delivery and Construction teams and local community participants in three flood alleviation schemes in the North of England carried out between 2013 and 2014. These are: the </span></span><span>Didsbury flood storage basin improvement scheme, </span><span>the Ripon Rivers flood alleviation scheme and </span><span>the Todmorden flood alleviation scheme. </span></p>
Characterization of bakuchiol-β-cyclodextrin inclusion complexes and their pH-dependent formation
Open the record for dataset details and reuse information.
Perspectives of Persons with Physical Impairments: Issues of Accessibility of Transportation Systems for Effective Inclusion in the English-Speaking Regions of Cameroon
<p>The paper investigated the adaptation for accessibility of transportation systems for effective inclusion of persons with physical disabilities in the English- speaking regions of Cameroon. Specifically, the article seeks to find out the impact of priority seating arrangement, the impact of audio-visual tactile information service, the impact of accessible parking and the provision of emergency evacuation plans on effective inclusion of persons with physical disabilities in the English-Speaking Regions of Cameroon. Literature was reviewed conceptually, theoretically and empirically. Using exploratory research design, the study sample 12 persons with physical disabilities, using an interview guide and observational check-list. Therefore, the study made use of qualitative data. The qualitative data was analyzed thematically, using themes and sample quotations. The findings showed that the current priority seating system in public transportation within the participants' community fails to provide an inclusive and accessible experience for individuals with physical, visual, and hearing impairments. Also, the findings from this research indicate that the lack of accessible and inclusive audio-visual tactile information in the public transportation systems of the English-Speaking Regions of Cameroon presents significant barriers to the full and equal participation of persons with physical disabilities. Moreover, the results of this study show that accessible parking impact effective inclusion of persons with physical disabilities in the English-Speaking Regions of Cameroon. Finally, the findings indicate a concerning lack of adequate emergency evacuation plans and procedures that consider the needs and safety of individuals with physical disabilities in the transportation infrastructure of the region. It was therefore, concluded that the adaptation for accessibility of transportation systems had a high effect on the inclusion of persons with physical disabilities in the English- speaking regions of Cameroon. Based on this, it is suggested thattransport providers should enhance the Priority Seating System; implement clear and visible markings for priority seating areas in public transportation vehicles, ensure that priority seating is designed with the specific needs of individuals with physical, visual, and hearing impairments in mind, such as providing adjustable and ergonomic seating options and develop and enforce policies that mandate the proper use of priority seating and promote a culture of respect and awareness among passengers.</p>
ISIEA: An image database of social inclusion and exclusion in Asian young adults
<p> </p> <p>Here we introduce an open-access, free, and standardized set of image stimuli, the image database of social inclusion/exclusion in Asian young adults (ISIEA), which is developed and validated by our lab for academic purposes in the field of social & affective processing especially social inclusion/exclusion studies.</p> <p> </p> <p>This database contains a set of 164 images depicting social interaction scenarios under three categories of social contexts (social exclusion, social neutral, and social inclusion). Standardized assessments are provided for each image, including the traditional emotional dimensions of arousal and valence, the inclusion score which evaluates the level of perceived social inclusion, and the vicarious feeling scale which evaluates the level of affective feeling when you imagine yourself as the highlighted person in the image. Visual physical properties of each image are also provided, including luminance, contrast, complexity, and color parameters. Additionally, we offer the ratings of face component and context component for each image (see Zheng et al., 2021 below for details). These parameters (Appendix 1) would be helpful for image selection and control of confounding factors.</p> <p> </p> <p>Note: This database is freely provided for only academic purpose (including laboratory research, journal publication, academic posters, conference exhibitions, etc.). Any commercial or other non-academic use is not allowed. It is allowable to make appropriate post-processing of the images (e.g., adjustment of brightness, contrast, color, clarity, and size) for research purpose, but not allowable to maliciously modify or deface the portraits in these images. We require to cite the paper of Zheng et al. (2021) properly when using the ISIEA. You are also welcomed to cite our other studies that have already used part of the images in the database as experimental materials.</p> <p> </p> <p>Users in Mainland China can also download from the following link using Baidu Netdisk. This link allows you to select a specific category of image to download according to your needs. If you have any problems with download or application of the database, please feel free to contact Mr. Li via <a href="mailto:liyw07@outlook.com">liyw07@outlook.com</a>. You are also welcome to contact Prof. Zhang via <a href="mailto:zhangdd05@gmail.com">zhangdd05@gmail.com</a> for suggestions and collaboration. </p> <p> </p> <p><strong>Baidu Netdisk link: </strong>https://pan.baidu.com/s/1ekNEUxNk4ZmoZgqIWBOHNA</p> <p><strong>Code: </strong>ISIE</p> <p> </p> <p><strong>Database instructions and citation:</strong></p> <p>Zheng, Z., Li, S., Mo, L., Chen, W., & Zhang, D. (2022). ISIEA: An image database of social inclusion and exclusion in young Asian adults. <em>Behavior research methods</em>, <em>54</em>(5), 2409–2421. <a href="https://doi.org/10.3758/s13428-021-01736-w">https://doi.org/10.3758/s13428-021-01736-w</a></p> <p> </p> <p><strong>Previous related articles using these images:</strong></p> <p><span>Zhao J, Mo L, Bi R, He Z, Chen Y, Xu F, Xie H, Zhang D. The VLPFC versus the DLPFC in downregulating social pain using reappraisal and distraction strategies. <em><span>The Journal of Neuroscience</span></em>, 2021, 41(6):1331-9. <a href="https://doi.org/10.1523/JNEUROSCI.1906-20.2020">https://doi.org/10.1523/JNEUROSCI.1906-20.2020</a></span></p> <p><span>Zhenhong He, Sijin Li, Licheng Mo, Zixin Zheng, Yiwei Li, Hong Li, Dandan Zhang. The VLPFC-engaged voluntary emotion regulation: Combined TMS-fMRI evidence for the neural circuit of cognitive reappraisal. <em>The Journal of Neuroscience</em>, 2023, 43(34):6046-6060. <a href="https://doi.org/10.1523/JNEUROSCI.1337-22.2023">https://doi.org/10.1523/JNEUROSCI.1337-22.2023</a></span></p> <p><span>He Z, Liu Z, Zhao J, Elliott R, Zhang D. Improving emotion regulation of social exclusion in depression-prone individuals: A tDCS study targeting right VLPFC. <em><span>Psychological Medicine</span></em>, 2020, 50(16):2768-79. <a href="https://doi.org/10.1017/S0033291719002915">https://doi.org/10.1017/S0033291719002915</a></span></p> <p><span>Sijin Li, Jingxu Chen, Kexiang Gao, Feng Xu, Dandan Zhang. Excitatory brain stimulation over the left dorsolateral prefrontal cortex enhances voluntary distraction in depressed patients, <em>Psychological Medicine</em>, 2023, 53:6646-55. <a href="https://doi.org/10.1017/S0033291723000028">https://doi.org/10.1017/S0033291723000028</a></span></p> <p><span>He Z, Lin Y, Xia L, Liu Z, Zhang D, Elliott R. Critical role of the right VLPFC in emotional regulation of social exclusion: A tDCS study. <em><span>Social Cognitive and Affective Neuroscience</span></em>, 2018, 13(4):357-66. <a href="https://doi.org/10.1093/scan/nsy026">https://doi.org/10.1093/scan/nsy026</a></span></p> <p><span>Licheng Mo, Sijin Li, Si Cheng, Yiwei Li, Feng Xu, Dandan Zhang. Emotion regulation of social pain: Double dissociation of lateral prefrontal cortices supporting reappraisal and distraction. <em>Social Cognitive and Affective Neuroscience,</em> 2023,18(1), 1-10. <a href="https://doi.org/10.1093/scan/nsad043">https://doi.org/10.1093/scan/nsad043</a></span></p> <p><span>He Z, Zhao J, Shen J, Muhlert N, Elliott R, Zhang D. The right VLPFC and downregulation of social pain: A TMS study. <em><span>Human Brain Mapping</span></em>, 2020, 41:1362-71. <a href="https://doi.org/10.1002/hbm.24881">https://doi.org/10.1002/hbm.24881</a> </span></p> <p><span>Wenwen Yu, Yiwei Li, Xueying Cao, Licheng Mo, Yuming Chen, Dandan Zhang. The role of ventrolateral prefrontal cortex on voluntary emotion regulation of social pain. <em>Human Brain Mapping</em>, 2023, 44(13): 4710-4721. <a href="https://doi.org/10.1002/hbm.26411">https://doi.org/10.1002/hbm.26411</a></span></p> <p><span>Cheng S, Qiu X, Li S, Mo L, Xu F, Zhang D. Different Roles of the Left and Right Ventrolateral Prefrontal Cortex in Cognitive Reappraisal: An Online Transcranial Magnetic Stimulation Study.<em><span> Frontiers in human neuroscience</span></em>, 2022, 16:928077. <a href="https://doi.org/10.3389/fnhum.2022.928077">https://doi.org/10.3389/fnhum.2022.928077</a></span></p> <p><span>王妹</span><span>, </span><span>程思</span><span>, </span><span>李宜伟</span><span>, </span><span>李红</span><span>, </span><span>张丹丹</span><span>. </span><span>背外侧前额叶在安慰剂效应中的作用</span><span>:</span><span>社会情绪调节研究</span><span>. </span><em><span>心理学报</span></em><span>, 2023, 55(7):1063-3. <a href="https://doi.org/10.3724/sp.J.1041.2023.01063">https://doi.org/10.3724/sp.J.1041.2023.01063</a></span></p> <p><span>莫李澄</span><span>, </span><span>郭田友</span><span>, </span><span>张岳瑶</span><span>, </span><span>徐锋</span><span>, </span><span>张丹丹</span><span>. </span><span>激活右腹外侧前额叶提高抑郁症患者对社会疼痛的情绪调节能力</span><span>:</span><span>一项</span><span>TMS</span><span>研究</span><span>. </span><em><span>心理学报</span></em><span>, 2021, 53(05):494-504. <a href="https://doi.org/10.3724/sp.J.1041.2021.00494">https://doi.org/10.3724/sp.J.1041.2021.00494</a></span></p> <p><span>于文汶</span><span>, </span><span>王妹</span><span>, </span><span>仇秀芙</span><span>, </span><span>高可翔</span><span>, </span><span>陈伟茂</span><span>, </span><span>张丹丹</span><span>. </span><span>腹外侧前额叶经颅磁刺激对社会疼痛的影响</span><span>:</span><span>拒绝敏感性和抑郁的调节作用</span><span>. </span><em><span>中国临床心理学杂志</span></em><span>, 2022, 30(04):985-990+972. <a href="https://doi.org/10.16128/j.cnki.1005-3611.2022.04.045">https://doi.org/10.16128/j.cnki.1005-3611.2022.04.045</a></span></p> <p><strong>Last Updated:</strong> <span>2023.12.14</span></p> <p> </p> <p> </p>
Data release for the "Measurement of the charged-current electron (anti-)neutrino inclusive cross-sections at the T2K off-axis near detector ND280"
<p>This data release is associated with the publication "Measurement of the charged-current electron (anti-)neutrino inclusive cross-sections at the T2K off-axis near detector ND280". It is currently available on arXiv and in JHEP:</p> <p><a href="https://arxiv.org/abs/2002.11986">arXiv:2002.11986 [hep-ex]</a> and <a href="https://doi.org/10.1007/JHEP10(2020)114">J. High Energ. Phys. 10, 114 (2020)</a></p> <p><strong>When citing this data release, please cite as well the paper.</strong></p> <p><em>The full author list and acknowledgements for the T2K collaboration are described in the article.</em></p> <p>The data release contains:</p> <ul> <li>cross-section measurements with NEUT 5.3.2 (fraction and total with covariances)</li> <li>cross-section measurements with GENIE 2.8.0 (fraction and total with covariances)</li> <li>smearing matrices for selected electron/positron momentum</li> </ul> <p><strong>Description:</strong></p> <p>The cross-section measurements are provided in the form of text files and a PDF summary. The detailed method and results are presented in the paper (especially section 8).</p> <p>The smearing matrices are provided as one ROOT file with two 2D histograms showing the electron/positron smearing matrices for momentum and angle, obtained using the selection from the ND280 nue CC inclusive analysis. It is similar to the figure 10 of the paper, but with more statistics and finer binning. They are accompanied with a README file presenting how to use these matrices and the related caveats. <strong>Please read it carefully.</strong></p> <p><strong>We strongly encourage any users of the matrices to present these caveats alongside any public comparison to T2K data.</strong></p> <p> </p> <p><strong>Full abstract:</strong></p> <p>The electron (anti-)neutrino component of the T2K neutrino beam constitutes the largest background in the measurement of electron (anti-)neutrino appearance at the far detector. The electron neutrino scattering is measured directly with the T2K off-axis near detector, ND280. The selection of the electron (anti-)neutrino events in the plastic scintillator target from both neutrino and anti-neutrino mode beams is discussed in this paper. The flux integrated single differential charged-current inclusive electron (anti-)neutrino cross-sections, dσ/dp and dσ/dcos(θ), and the total cross-sections in a limited phase-space in momentum and scattering angle (p>300 MeV/c and θ≤45<sup>∘</sup>) are measured using a binned maximum likelihood fit and compared to the neutrino Monte Carlo generator predictions, resulting in good agreement.</p>
High-pressure x-ray diffraction data for arsenolite and its inclusion compound with helium
<p>X-ray diffraction data for arsenolite and its inclusion compound collected at the European Synchrotron Radiation Facility.</p>
High-pressure X-ray diffraction data for arsenolite helium inclusion compound
<p>High-pressure x-ray diffraction data for arsenolite inclusion compound with helium collected at the European Synchrotron Radiation Facility.</p>
Designing Data Governance Policies for the Inclusive use of Artificial Intelligence in Africa
<p>Discussion: Designing Data Governance Policies for the Inclusive use of Artificial Intelligence in Africa.<br> Panel: Towards an Inclusive Data Governance Policy for the Use of AI in Africa<br> <br> </p>
Discovery of Ultra-depleted Melt Inclusion in Late Cretaceous Intracontinental Basaltic Andesites in South China: Implications for Recycling of Lower Oceanic Crust
<p><strong>Contents of this file </strong></p> <p><strong>S1. Supplementary Text:</strong></p> <p><strong>1. </strong>Data compilation and statistical analysis</p> <p><strong>2.</strong> Reconstructing the chemical compositions of melt inclusion</p> <p><strong>3.</strong> Batch melting calculation</p> <p><strong>4.</strong> Melt-plagioclase diffusive interaction model</p> <p><strong>S2. Supplementary Table:</strong></p> <p><strong>Table S1. </strong>The parameters used in batch melting calculation.</p> <p><strong>Table S2. </strong>Parameters used in the melt-plagioclase diffusive interaction model</p> <p><strong>Table S3. </strong>Input and output data for the melt-plagioclase diffusive interaction model.</p> <p><strong>S3. Supplementary Figure:</strong></p> <p><strong>Figure S1. </strong>Primitive mantle-normalized trace element patterns.</p> <p><strong>S4. Supplementary Dataset (uploaded separately):</strong></p> <p><strong>Dataset S1. </strong>Compiled data including basaltic rocks from South China, MORBs, and Hawaiian OIBs.</p> <p><strong>Dataset S2. </strong>Olivine chemical compositions.</p> <p><strong>Dataset S3. </strong>Bulk-rock major oxide, trace element, and Sr-Nd-Pb-Hf isotopic compositions.</p> <p><strong>Dataset S4. </strong>Measured and corrected major element compositions of melt inclusion.</p> <p><strong>Dataset S5. </strong>Measured and corrected trace element compositions of melt inclusion.</p> <p><strong>Dataset S6. </strong>Pb isotopic compositions of melt inclusion.</p>
The way forward with inclusive Open Science
<p>Presentation slides used during AAAS 2023 panel discussion session title: <a href="https://aaas.confex.com/aaas/2023/meetingapp.cgi/Session/30038">Foster Inclusion in Scientific Communities through Shared Data </a></p> <p>Synopsis:</p> <p>Over the past few years the scientific community has learned s=valuable lessons: It is stronger together; it must uplift one another in order to achieve scientific progress; and the best solutions are found when working together. But these lessons will be unable to spread very far unless all address the hesitancy in transitioning towards sharing data and results and the lack of applied experience with tools which make open collaboration easier. Transform to Open Science (TOPS) is a new National Aeronautics and Space Administration (NASA) Science Mission Directorate mission designed to spark a cultural shift to collaborative, inclusive science. Open science increases access to knowledge and expands opportunities for new voices to participate. Sharing the data, code, and knowledge associated with the scientific process lowers barriers to entry for historically-underrepresented communities, enables findings to be more easily reproduced, and generates new knowledge at scale. Success depends on everyone working to change the frameworks from which all operate. This session panel shows how open science is transformative and empowering for those who have traditionally been marginalized in science, technology, engineering, and math (STEM). The session highlights students and researchers of diverse backgrounds to share their open science experiences, including their foray into open science, barriers to practicing open science, and successes obtained through an open science framework.</p> <p>-----</p> <p>Abstract: <a href="https://aaas.confex.com/aaas/2023/meetingapp.cgi/Paper/31052">The way forward with inclusive Open Science</a></p> <p>Open science is an ethos behind communities that are intrinsically motivated to contribute to the greater good of humanity. Working openly is a way of building bridges with the larger scientific community creating more inclusive pathways for those looking to expand beyond their bounds. This in itself serves as a lifeline to many in marginalized communities, offering abundant opportunities for growth and development. Open science is not just for those who can, but also for those who can’t. </p>
An orally angiotensin - (1 – 7) inclusion compound reduce time to reaction in 2 stroop task and modify heart rate variability after continuous test in mountain 3 bike cyclists
<p>data for An orally angiotensin - (1 – 7) inclusion compound reduce time to reaction in 2 stroop task and modify heart rate variability after continuous test in mountain 3 bike cyclists,<br> </p> <p>Recently our group showed that hydroxypropyl β-cyclodextrin (HPβ-CD)-Angiotensin-(1-7) (HPβ-CD-Ang-[1-7]) oral formulation affects performance and decreases the perceived effort of mountain bike (MTB) athletes.</p> <p>Twenty-one male MTB practitioners were divided into a continuous protocol time trial and repeated sprint groups. Three hours before a 20-km cycling time trial or 4×30-s repeated all-out sprints on a leg cycle ergometer, the athletes received HPβ-CD-Ang-(1-7) (0.8 mg) or HPβ-CD-placebo (only HPβ-CD) oral capsules over a 7-day interval randomized crossover design. At rest and immediately after the exercise protocol, the ratings of perceived recovery and the visual analog scale were assessed, and the volunteers completed the Stroop task (ST). Heart rate variability was measured at rest and peak effort. There were no differences in the perceived variables. The ST showed that HPβ-CD-Ang-(1-7) supplementation reduced the reaction time (rest 1032±331 ms vs. after protocol 902±286 ms, p=0.05) after the continuous time trial. The withdrawal of the parasympathetic components in the peak effort to the continuous protocol was not different from that of rest in the HPβ-CD-Ang-(1-7) condition. The results are pioneering, especially in humans, but indicate that Angiotensin-(1-7) potentially affects reaction time and the parasympathetic withdrawal after continuous protocol time trial.</p>
The impact of genetically controlled splicing on exon inclusion and protein structure
<p><strong>This repository contains raw and processed files used in Einson et. al 2022. </strong></p> <p>Code used to generate these files can be found here: https://github.com/jeinson/sqtl_manuscript</p> <p><strong><em>Descriptions of files contained within each sub directory</em></strong></p> <p><strong>01_raw_psi</strong></p> <ul> <li><em>{GTEx_tissue_id}_v8.psi.tsv.gz: </em>Unfiltered PSI output from IPSA-nf, per tissue. See methods for details about how files were created. </li> <li><em>gtex_v8_exon_id_map.tsv: </em>Mapping file between exon coordinates and Ensembl gene IDs, with suffix used in GTEx v8 gencode annotation. </li> </ul> <p><strong>02_qtl_results</strong></p> <ul> <li><strong>cross_tissue</strong> <ul> <li><em>top_sQTLs_MAF05.tsv: </em>List of top GTEx v8 sQTLs across tissues, with one exon and top variant per tissue. See methods for details. See matching file for column descriptions. </li> <li><em>top_sQTLs_median_psi.tsv: </em>The median, mean, and standard deviation of PSI of each significant exon from the previous file, taken across all individuals from GTEx with data available.</li> <li><em>top_sQTLs_MAF05_w_anc_allele.tsv: </em>List of top sQTLs across tissues, with additional columns for the top ψQTL ancestral and derived alleles, where available. </li> </ul> </li> <li><strong>per_tissue</strong> <ul> <li><em>{GTEx_tissue_id}_combined_sQTLs.tsv.gz: </em>Raw output of ψQTL calling using QTLtools in grouped permutational mode per tissue, with groups specified by gene. See methods for more details, and https://qtltools.github.io/qtltools/ for column descriptions. </li> </ul> </li> </ul> <p><strong>03_qtl_credible_sets</strong></p> <ul> <li> <em>GTEx_psi_{GTEx_tissue_id}.collapsed.txt.gz: </em>Output of the QTL catalog fine mapping pipeline (https://github.com/eQTL-Catalogue/qtlmap), run on all exons and tissues, and collapsed using the procedure described in Methods. </li> </ul> <p><strong>04_qtl_coloc</strong></p> <ul> <li><em>combined_coloc_results_full.tsv.gz: </em>Combined output of running coloc on ψQTLs from the 18 GTEx tissues against 87 sets of GWAS summary statistics. This file contains all results, including non-significant associations. A nominal QTLtools pass was used as input. We do not include these files in this repository due to size limitations, but contact the authors if you need access to nominal QTL calls. </li> <li><em>top_sQTLs_with_top_coloc_event.tsv: </em>The QTLs in <em>top_sQTLs_MAF05.tsv</em> with additional columns for the GWAS with the highest posterior probability of a colocalization event. Importantly, the tissue and top variant may not match the main <em>top_sQTLs_MAF05.tsv </em>file for every gene. </li> </ul> <p><strong>05_exon_features: </strong>See matching files for description of each column. </p> <ul> <li><em>cross_tissue_constitutive_exons_with_AF.tsv: </em>Detailed features of cross tissue constitutive exons. See methods for definition of constitutive exons. </li> <li><em>cross_tissue_nonsignificant_genes_with_AF.tsv: </em>Detailed features of sufficiently variable exons with no significant variant across tissues. See methods for more details. </li> <li><em>top_sQTLs_MAF05_with_AF.tsv: </em>Detailed features of top sQTLs. </li> <li><em>top_sQTLs_with_top_coloc_with_AF.tsv: </em>Detailed features of sQTLs that colocalize with at least one GWAS trait. Contains columns for Euclidean distances between PAE matrices and RMSD between isoforms, among genes with a significant GWAS colocalization event. </li> </ul> <p><strong>06_predicted_structures: </strong>Each prediction was run 5 times, and we report the best model in the manuscript. </p> <ul> <li><strong>{protein.id}[_mutant].result</strong> <ul> <li><em>{protein.id}[_mutant]{_run.id}_coverage.png.gz: </em>Plot of the number of sequences per position in MSA</li> <li><em>{protein.id}[_mutant]{_run.id}_PAE.png.gz: </em>PAE matrix plots for each model</li> <li><em>{protein.id}[_mutant]{_run.id}_plddt.png.gz: </em>pLDDT plots for each model</li> <li><em>{protein.id}[_mutant]{_run.id}_predicted_aligned_error_v1.json.gz</em>: A PAE matrix for the best model using <a href="https://alphafold.ebi.ac.uk/faq#faq-7">AlphaFold-DB's format</a></li> <li><em>{protein.id}[_mutant]{_run.id}_unrelaxed_rank_{rank.num}_model_{model.num}_scores.json.gz</em>: Per model array (list of lists) with PAE, a list of the average pLDDT and the pTM score. </li> <li><em>{protein.id}[_mutant]{_run.id}_unrelaxed_rank_{rank.num}_model_{model.num}_pdb.gz: </em>Per model predicted structure in pd format</li> <li><em>{protein.id}[_mutant]{_run.id}.a3m.gz</em>: A3M formatted input MSA</li> <li><em>cite.bibtex: </em>BibTex file with citations for all used tools and databases</li> <li><em>config.json</em>: Model input parameters</li> </ul> </li> </ul> <p><strong>07_other_data</strong></p> <ul> <li><em>cross_tissue_constitutive_exons.tsv: </em>List of exons that are constitutively spliced across multiple tissues. See methods for details. </li> <li><em>cross_tissue_nonsignificant_genes.tsv</em>: List variably spliced exons with no significant sVariant in any tissue. See methods for details. </li> <li><em>gtex_v8_exon_id_map.rds: </em>rds representation of a map between exon IDs, as used in the modified version of gencode v26, and exon hg38 coordinates. </li> <li><em>gtex_v8_n_exons_per_gene.tsv: </em>Number of exons per gene, as annotated in the modified version of gencode v26 used in GTEx v8. </li> </ul> <p><strong>08_geuvadis</strong></p> <ul> <li><em>geuvadis_psi.tsv.gz: </em>Unfiltered PSI output from IPSA-nf, run on Geuvadis BAM files. See methods for details. (Raw data was downloaded from ftp://ftp.ebi.ac.uk/pub/databases/microarray/data/experiment/GEUV)</li> <li><em>geuvadis_sQTLs.tsv.gz: </em>Raw output of ψQTL calling using QTLtools in grouped permutational mode for geuvadis data, with groups specified by gene. See methods for more details, and https://qtltools.github.io/qtltools/ for column descriptions. </li> <li><em>remapped_gencode.v26.GRCh37.GTEx_v8.nochr.genes.gtf.gz:</em> Lifted over version of the gencode v26 gtf file, used to define exons for PSI and qtl mapping in the geuvadis analysis. The original version that was used in the GTEx analysis is based on GRCh38, and is available here: https://storage.googleapis.com/gtex_analysis_v8/reference/gencode.v26.GRCh38.genes.gtf</li> </ul>
Dataset for the paper "How to Work on Equality and Inclusion when Introducing Computational Thinking and Educational Robotics in Early Childhood Education: A Systematic Review"
<p>Resources for the Systematic Literature Review (SLR) about Computational Thinking and Educational Robotics in Early Childhood Education for fostering equality and inclusion. The SLR is related to the project "COEDUIN-Alfabetización digital y STEAM en edades tempranas: propuesta co-educativa inclusiva" funded by Fundación Caja Canarias and Fundación La Caixa (ref. 2020EDU08).</p> <p>The SLR covers papers in WoS and Scopus from 2011 to 2022.</p>
Dataset for the paper "Trends in studies developed in Europe about inclusion and diversity in schools: A systematic research projects review"
<p>Resources for the Systematic Research Projects Review (SRPR) about European research projects on school inclusion and diversity. The SRPR is related to the project "Gamified Values Education For Fostering Migrant Integration at Schools (GAMIGRATION)" funded by Erasmus+ programme of the European Union (ref. 2021-1-ES01-KA220-SCH-000032607).</p> <p>Search conducted on CORDIS and Erasmus+ platform.</p>
Online Workshop for Supporting Inclusive and Sustainable Research Infrastructure for Systematics by Connecting Scientists and their Specimens
<p>The project, "Supporting inclusive and sustainable research infrastructure for systematics (SISRIS) by connecting scientists and their specimens" is supported by a <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2247631&HistoricalAwards=false">conference grant from the US National Science Foundation</a> to Dr. Andrea Weeks (George Mason University; Ted R. Bradley Herbarium), and Drs. Shawn Zeringue-Krosnick and Twanelle Majors (Tennessee Tech University; Hollister Herbarium). It supports two US-based workshops and symposia at the 2023 annual meetings of the <a href="https://www.sebiologists.org/asb-2023.html">Association of Southeastern Biologists</a> and <a href="https://2023.botanyconference.org/">Botany 2023</a>. The purpose of the work is to share new practices that improve attribution of natural history specimens and highlight research advances in systematics that can be made as a consequence of improved people-data within biodiversity informatics databases. This four hour workshop was held Sunday August 6, 2023 in an online format to accommodate participants who could not attend the in-person event at Botany 2023 on July 23, 2023 in Boise, Idaho. The rationale and curriculum for the workshop are described on the project website: <a href="https://github.com/aweeks3/SISRIS">https://github.com/aweeks3/SISRIS</a>.</p>
Phase 3 Randomized, Double-Blind, Placebo-Controlled Study to Evaluate Sialic Acid in Patients With Glucosamine (UDP-N-acetyl)-2-epimerase Myopathy (GNEM) or Hereditary Inclusion Body Myopathy (HIBM)
ClinicalTrials.gov study NCT02377921. IPD Sharing: Not stated. Countries: 7. Publications: 2.
Study of Arimoclomol in Inclusion Body Myositis (IBM)
ClinicalTrials.gov study NCT02753530. IPD Sharing: Not stated. Countries: 2. Publications: 2.
The Use of Antipsychotics in the Program of All-inclusive Care for the Elderly (PACE)
ClinicalTrials.gov study NCT03692182. IPD Sharing: NO. Countries: 1. Publications: 7.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.